4.7 Article

Predicting the long-term yield trajectory of black spruce stands using time since fire

期刊

FOREST ECOLOGY AND MANAGEMENT
卷 257, 期 10, 页码 2189-2197

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.foreco.2009.03.001

关键词

Stand production; Old-growth; Picea mariana; Yield modelling; Stand-replacing disturbances

类别

资金

  1. NSERC
  2. Canada Economic Development
  3. Fondation de la faune du Quebec
  4. Fonds quebecois de la recherche sur la nature et les technologies
  5. Abitibi-Bowater Inc.
  6. Kruger Inc.
  7. FPInnovations
  8. Produits forestiers Arbec
  9. Gestion Remabec Inc
  10. Ministere du Developpement durable du Quebec
  11. Ministere des Ressources naturelles et de la Faune du Quebec
  12. Fonds quebecois de la recherche sur la nature et les technologies (FQRNT)

向作者/读者索取更多资源

Yield curves are traditionally constructed with mean age of dominant trees as the temporal variable. However. when tree longevity is shorter than the average period of time between two successive disturbances. mean age of dominant trees becomes a doubtful temporal variable in old-growth stands. We thus used the period of time since the last fire (TSF) to model yield of black spruce (Picea mariana [Mill.] B.S.P.) stands in northeastern Quebec, Canada. For the first 200 years after fire, a system of difference equations closely fits the pattern of change in merchantable volume obtained from repeated measurements of 67 permanent sample plots (PSPs). For TSF > 200 years, the absence of precise TSF constrained us to determining only the general yield trajectory, i.e., whether the volume decreases down to a zero value or is maintained at a constant positive value. A procedure based on the observed distribution of 260 PSPs over volume classes suggested that merchantable volume of black spruce stands is generally maintained around a constant value fora long period of time. Using TSF rather than mean age of dominant trees in yield modelling produced large differences indicating that TSF should be used where available. especially in regions dominated by old-growth forests. (C) 2009 Elsevier B.V. All rights reserved.

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